In the realm of modern medicine and biology, vast amounts of genetic data with high
complexity are available. However, dealing with such high-dimensional data poses …

The mainstream algorithms used for ship classification and detection can be improved
based on convolutional neural networks (CNNs). By analyzing the characteristics of ship …

In industrial production planning problems, the accuracy of the accessible market
information has the highest priority, as it is directly associated with the reliability of decisions …

Patients on hemodialysis (HD) are known to be at an increased risk of mortality.
Hypoalbuminemia is one of the most important risk factors of death in HD patients, and is an …

The realms of modern medicine and biology have provided substantial data sets of genetic
roots that exhibit a high dimensionality. Clinical practice and associated processes are …

Gene selection eliminates redundant or duplicate information to optimize computational
resources and improve classification accuracy. In this research, a novel gene selection …

Coronavirus disease-2019 (COVID-19) as a new pneumonia which is extremely infectious,
the classification of this coronavirus is essential to effectively control the development of the …

Spotlight synthetic aperture radar (SAR) achieves a high azimuth resolution with long
integration times. Meanwhile, the long integration times also cause defocused and smeared …

The domains of contemporary medicine and biology have generated substantial high-
dimensional genetic data. Identifying representative genes and decreasing the …

Chronic obstructive pulmonary disease (COPD) causes irreversible airflow limitations,
increasing global morbidity and mortality. Acute exacerbations (AECOPDs) worsen …